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20212026
most citedPractical Trainable Temporal Postprocessor for Multistate Quantum Measurement

4 citations · 8 across the 9 of their papers we have counts for

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quant-ph2026

Precision quantum simulation of magnon spectra and interactions

Trond I. Andersen, Nikita Astrakhantsev, Jeronimo Martinez +329

Quantum simulation promises to advance materials discovery by accurately simulating complex states of matter, their microscopic excitations, and macroscopic response functions. The…

quant-ph2026

Multifractal and Glassy Signatures of Non-Ergodic 2D Quantum Dynamics

Aleksey Lunkin, Nicole S. Ticea, Michael T. Solomon +296

The fate of ergodicity and localization in disordered, interacting quantum systems in two spatial dimensions remains an outstanding open problem in non-equilibrium physics. Theoret…

quant-ph2025

Exceeding the Parametric Drive Strength Threshold in Nonlinear Circuits

Mingkang Xia, Cristóbal Lledó, Matthew Capocci +7

Superconducting quantum circuits rely on strong drives to implement fast gates, high-fidelity readout, and state stabilization. However, these drives can induce uncontrolled excita…

quant-ph2024

Simple, High Saturation Power, Quantum-limited, RF SQUID Array-based Josephson Parametric Amplifiers

Ryan Kaufman, Chenxu Liu, Katarina Cicak +7

High-fidelity quantum non-demolition qubit measurement is critical to error correction and rapid qubit feedback in large-scale quantum computing. High-fidelity readout requires pas…

quant-ph2024★ 3 cited

Pump-efficient Josephson parametric amplifiers with high saturation power

Nicholas M. Hougland, Zhuan Li, Ryan Kaufman +4

Circuit QED based quantum information processing relies on low noise amplification for signal readout. In the realm of microwave superconducting circuits, this amplification is oft…

quant-ph2023★ 4 cited

Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement

Saeed A. Khan, Ryan Kaufman, Boris Mesits +2

We develop and demonstrate a trainable temporal post-processor (TPP) harnessing a simple but versatile machine learning algorithm to provide optimal processing of quantum measureme…

quant-ph2023

Josephson parametric amplifier with Chebyshev gain profile and high saturation

Ryan Kaufman, Theodore White, Mark I. Dykman +10

We demonstrate a Josephson parametric amplifier design with a band-pass impedance matching network based on a third-order Chebyshev prototype. We measured eight amplifiers operatin…

quant-ph2021★ 1 cited

Realizing all-to-all couplings among detachable quantum modules using a microwave quantum state router

Chao Zhou, Pinlei Lu, Matthieu Praquin +8

One of the primary challenges in realizing large-scale quantum processors is the realization of qubit couplings that balance interaction strength, connectivity, and mode confinemen…